Light adaptation or brightness correction is a key step in improving the contrast and visual
appeal of an image. There are multiple light-related tasks (for example, low-light …

High dynamic range (HDR) photography is becoming increasingly popular and available by
DSLR and mobile-phone cameras. While deep neural networks (DNN) have greatly …

Capturing high dynamic range (HDR) images (videos) is attractive because it can reveal the
details in both dark and bright regions. Since the mainstream screens only support low …

Many challenges that deal with processing of HDR material remain very much open for the
film industry, whose extremely demanding quality standards are not met by existing …

High dynamic range (HDR) capture and display have seen significant growth in popularity
driven by the advancements in technology and increasing consumer demand for superior …

This paper introduces a new learning based framework for X-ray images that relies on a
morphological decomposition of the signal into two main components, separating images …

High Dynamic Range (HDR) imaging seeks to enhance image quality by combining multiple
Low Dynamic Range (LDR) images captured at varying exposure levels. Traditional deep …

该文基于现场可编程门阵列实现了受生物视觉机制启发的夜间图像增强模型,
实时高效地对夜间低照度视频图像进行自适应增强. 受初级视觉系统中大小细胞通路启发 …

为了解决现有色阶重建算法存在的明暗对比欠佳以及细节弱化问题, 提出一种基于局部对比度
保持的色阶重建算法. 首先利用二阶范数构建聚类准则, 通过动态规划对聚类准则进行最优化 …

High dynamic range (HDR) images have recently become increasingly popular because
they can show details in both dark and bright regions, while mainstream displays only …